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About the role
We're Hiring | Senior Data Engineer Location: Hyderabad (Hybrid) Experience: 3.5 years - 9 Years Joining Preference: Immediate Joiners Only About Sigmoid Sigmoid is a leading data and analytics company backed by Sequoia Capital, helping global enterprises solve complex business challenges through cutting-edge Data Engineering, Data Science, and DataOps solutions. We build scalable, cloud-native data platforms that enable organizations to unlock the true value of their data. If you're passionate about building modern data solutions and working with the latest cloud technologies, we'd love to hear from you! Role Overview As a Data Engineer, you will be responsible for designing, developing, and maintaining scalable data pipelines and ETL/ELT solutions. You will collaborate with cross-functional teams, including Data Scientists, Analysts, and Business stakeholders, to build reliable and high-performance data platforms. Mandatory Skills Strong Python programming Strong SQL Experience building ETL/ELT data pipelines Hands-on experience with Relational Databases Experience with Git/Version Control Hands-on experience with at least one Azure Cloud Platform Strong Data Structures & Algorithms (DSA) knowledge Excellent problem-solving and analytical skills Qualification Bachelor's degree in Computer Science, Engineering, or a related technical field. What We're Looking For 3.5 years9 years of relevant Data Engineering experience. Strong coding mindset with excellent problem-solving abilities. Ability to work in a collaborative, fast-paced environment. Good communication and stakeholder management skills. Immediate joiners or candidates who can join at the earliest. Apply Now If your experience aligns with the above requirements and you're looking to build innovative, scalable data solutions with Sigmoid, we'd love to connect with you. Apply now and become part of our growing Data Engineering team!
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